Evidence map›Paper›PMID 39612148›Full record

ArticleAging clinical and experimental research2024

Electronic health records reveal that COVID-19 impacted health resources and survival of Basque population.

Sara Cruces-Salguero, Igor Larrañaga, Javier Mar, Ander Matheu

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sara Cruces-SalgueroCellular Oncology group, Biodonostia Health Research Institute, Paseo Dr. Beguiristain s/n, 20014, San Sebastian, Spain.
Igor LarrañagaOsakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Mondragón, Gipuzkoa, Spain.
Javier MarOsakidetza Basque Health Service, Debagoiena Integrated Healthcare Organisation, Research Unit, Mondragón, Gipuzkoa, Spain.
Ander MatheuCellular Oncology group, Biodonostia Health Research Institute, Paseo Dr. Beguiristain s/n, 20014, San Sebastian, Spain. ander.matheu@biodonostia.org.

Funding

Carlos III Institute of Health PI22/01905Diputacion Foral Guipuzcoa - Adinberri FADIN19/001
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic impacted worldwide. The Basque Country was one of the regions in Spain most affected by the virus.

methodsIn this retrospective study, we took advantage of the Basque Health Service electronic health records data lake of over 20,000 deceased individuals, including 5000 positives for COVID-19, between 2020 and 2022 in Gipuzkoa (Basque Country, Spain).

resultsComparison between COVID-19-positive and negative individuals' showed that the prevalence of infections was higher inside nursing homes and COVID-19 promoted a significant rise in hospitalizations, emergency entrances, and ICU admissions. No differences were observed between genders in terms of infections or survival but were detected in health resources and vaccination showed a strong protective effect against the disease.

conclusionsOur results provided a complete characterization of the impact of COVID-19 on the Basque population, which expands the knowledge of the pandemic on older individuals and the health system. Our study also highlights the benefit of the use of Electronic Health Records in studying human diseases.

Indexed as

COVID-19Electronic Health RecordsAdultAgedAged, 80 and overFemaleHealth ResourcesHospitalizationHumansMaleMiddle AgedNursing HomesPandemicsRetrospective StudiesSARS-CoV-2SpainElectronic health recordsPandemicPublic health

Identifiers

PMID39612148
PMCPMC11606984

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.